### Educational Resource: Understanding Probability Distributions **Problem 641: Analysis of Intern Monthly Pay Distribution** 1. **Context**: Based on data from a Glassdoor source, the mean monthly pay for interns at Facebook is $6,898. 2. **Statistical Assumptions**: Assume the intern monthly pay is normally distributed with a standard deviation of $500. 3. **Questions to Consider**: - **a. Probability of Pay Less Than $5,900?** - **b. Probability of Pay Between $5,700 and $6,100?** - **c. Probability of Pay Above $6,500?** - **d. What percentage of intern monthly pays are higher than $6,100?** - **e. Ninety-five percent of the intern monthly pays are between what two values, symmetrically distributed around the mean?** - **f. Compare the results for these intern pays to those computed in Problem 640.** ### Detailed Explanation - **Normal Distribution**: A probability distribution where data is symmetrically distributed around the mean. In this problem, it helps us estimate probabilities of various salary ranges using the given mean and standard deviation. - **Use of Z-Scores**: To solve the questions, one would typically convert salary values into Z-scores to find probabilities from a standard normal distribution table. - **Interpreting the Results**: For instance, by calculating Z-scores, you could determine the percentage of interns earning below or above certain thresholds and the specific range encompassing 95% of the salaries. This problem assists students in applying statistical concepts such as normal distribution, standard deviation, and Z-scores to real-world salary data, providing a practical understanding of these mathematical ideas.

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### Educational Resource: Understanding Probability Distributions

**Problem 641: Analysis of Intern Monthly Pay Distribution**

1. **Context**: Based on data from a Glassdoor source, the mean monthly pay for interns at Facebook is $6,898.

2. **Statistical Assumptions**: Assume the intern monthly pay is normally distributed with a standard deviation of $500.

3. **Questions to Consider**:
   - **a. Probability of Pay Less Than $5,900?**
   - **b. Probability of Pay Between $5,700 and $6,100?**
   - **c. Probability of Pay Above $6,500?**
   - **d. What percentage of intern monthly pays are higher than $6,100?**
   - **e. Ninety-five percent of the intern monthly pays are between what two values, symmetrically distributed around the mean?**
   - **f. Compare the results for these intern pays to those computed in Problem 640.**

### Detailed Explanation

- **Normal Distribution**: A probability distribution where data is symmetrically distributed around the mean. In this problem, it helps us estimate probabilities of various salary ranges using the given mean and standard deviation.

- **Use of Z-Scores**: To solve the questions, one would typically convert salary values into Z-scores to find probabilities from a standard normal distribution table.

- **Interpreting the Results**: For instance, by calculating Z-scores, you could determine the percentage of interns earning below or above certain thresholds and the specific range encompassing 95% of the salaries.

This problem assists students in applying statistical concepts such as normal distribution, standard deviation, and Z-scores to real-world salary data, providing a practical understanding of these mathematical ideas.
Transcribed Image Text:### Educational Resource: Understanding Probability Distributions **Problem 641: Analysis of Intern Monthly Pay Distribution** 1. **Context**: Based on data from a Glassdoor source, the mean monthly pay for interns at Facebook is $6,898. 2. **Statistical Assumptions**: Assume the intern monthly pay is normally distributed with a standard deviation of $500. 3. **Questions to Consider**: - **a. Probability of Pay Less Than $5,900?** - **b. Probability of Pay Between $5,700 and $6,100?** - **c. Probability of Pay Above $6,500?** - **d. What percentage of intern monthly pays are higher than $6,100?** - **e. Ninety-five percent of the intern monthly pays are between what two values, symmetrically distributed around the mean?** - **f. Compare the results for these intern pays to those computed in Problem 640.** ### Detailed Explanation - **Normal Distribution**: A probability distribution where data is symmetrically distributed around the mean. In this problem, it helps us estimate probabilities of various salary ranges using the given mean and standard deviation. - **Use of Z-Scores**: To solve the questions, one would typically convert salary values into Z-scores to find probabilities from a standard normal distribution table. - **Interpreting the Results**: For instance, by calculating Z-scores, you could determine the percentage of interns earning below or above certain thresholds and the specific range encompassing 95% of the salaries. This problem assists students in applying statistical concepts such as normal distribution, standard deviation, and Z-scores to real-world salary data, providing a practical understanding of these mathematical ideas.
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6.41.

Let X be the monthly pay of an intern at Facebook.

From the given information, X follows normal distribution with mean µ=$6,589 and a standard deviation σ=$500.

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